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Classes & Enums

Methods for RDT Detection

Methods for Quality Checking

Methods for RDT Interpretation

RDT

Signature: RDT(Context context, String rdtName)
Purpose: Object for holding all of the parameters that are loaded from the configuration file for the RDT of interest
Parameters:

  • Context context: the Context object for the app's Activity
  • String rdtName: the String used to reference the RDT design in config.json

ExposureResult

Signature: enum ExposureResult
Purpose: An Enumeration object for specifying the exposure quality of the image
Possible Values:

  • UNDER_EXPOSED: the image is too dark
  • NORMAL: the image has just the right amount of light
  • OVER_EXPOSED: the image is too bright

SizeResult

Signature: enum SizeResult
Purpose: An Enumeration object for specifying whether the RDT has a reasonable scale in the image
Possible Values:

  • SMALL: the RDT is too small in the image
  • RIGHT_SIZE: the RDT has just the right size in the image
  • LARGE: the RDT is too large in the image
  • INVALID: the RDT could not be found in the image

RDTCaptureResult

Signature: RDTCaptureResult(boolean allChecksPassed, Mat resultMat, MatOfPoint2f boundary, boolean flashEnabled, ExposureResult exposureResult, boolean isSharp, boolean isCentered, SizeResult sizeResult, boolean isOriented, double angle, boolean isGlared, boolean fiducial)
Purpose: Object for holding all of the parameters that describe whether a candidate video framed passed all of the quality checks
Parameters:

  • boolean allChecksPassed: whether this candidate video frame is clear enough for interpretation
  • Mat resultMat: the RDT image tightly cropped around the result window
  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT
  • boolean flashEnabled: whether the flash was active during the image capture process for this frame
  • ExposureResult exposureResult: whether the candidate video frame input has a reasonable brightness
  • boolean isSharp: whether the candidate video frame input has a reasonable sharpness
  • boolean isCentered: whether the boundary of the detected RDT is sufficiently in the middle of the screen for consistent interpretation
  • SizeResult sizeResult: whether the boundary of the detected RDT has a reasonable size for consistent interpretation
  • boolean isOriented: whether the boundary of the detected RDT has a reasonable orientation for consistent interpretation
  • double angle: the orientation of the RDT's vertical axis relative to the vertical axis of the video frame (e.g., 0° = upright, 90° = right-to-left, 180° = upside-down, 270° = left-to-right)
  • boolean isGlared: whether there is glare within the detected RDT's result window
  • boolean fiducial: whether the fiducial was detected (if one was specified)

RDTInterpretationResult

Signature: RDTInterpretationResult(Mat resultMat, boolean topLine, boolean middleLine, boolean bottomLine)
Purpose: Object for holding all of the parameters that describe the test result that is detected on the completed RDT
Parameters:

  • Mat resultMat: the RDT image tightly cropped around the result window
  • boolean topLine: whether the top line was detected in the result window
  • boolean middleLine: whether the middle line was detected in the result window
  • boolean bottomLine: whether the bottom line was detected in the result window

getViewfinderRect()

Signature: Rect viewfinderRect = getViewfinderRect(Mat inputMat)
Purpose: Returns the rectangle corresponding to the viewfinder that the user sees (i.e., region-of-interest) for image quality
Parameters:

  • Mat inputMat: the candidate video frame

Returns:

  • Rect viewfinderRect: the viewfinder rectangle

assessImage()

Signature: RDTCaptureResult captureResult = assessImage(Mat inputMat, boolean flashEnabled)
Purpose: Processes the candidate video frame to see if it passes all of the quality checks needed to ensure high likelihood of correct automatic analysis
Parameters:

  • Mat inputMat: the candidate video frame (in RGBA)
  • boolean flashEnabled: whether the flash was active during the image capture process for this frame

Returns:

  • RDTCaptureResult captureResult: the capture results

detectRDT()

Signature: MatOfPoint2f boundary = detectRDT(Mat inputMat)
Purpose: Locates the RDT within the image (if one is presents) produces a bounding box around it
Parameters:

  • Mat inputMat: the candidate video frame (in grayscale)

Returns:

  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT if one is present, otherwise a blank MatOfPoint2f

drawKeypointsAndMatches()

Signature: Mat debugMat = drawKeypointsAndMatches(Mat inputMat, MatOfPoint boundary, MatOfKeyPoint keypoints, MatOfDMatch matchesMat)
Purpose: Draws an image for debugging the feature-based template matching approach for RDT detection
Parameters:

  • Mat inputMat: the candidate video frame (in grayscale)
  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT
  • MatOfKeyPoint keypoints: the SIFT keypoints within the video frame
  • MatOfDMatch matchesMat: the correspondence between the different keypoints

Returns:

  • Mat debugMat: an image with keypoint matches drawn between the reference image and the candidate video frame

measureExposure()

Signature: float[] mBuff = measureExposure(Mat inputMat)
Purpose: Calculates the brightness histogram of the candidate video frame
Parameters:

  • Mat inputMat: the candidate video frame (in grayscale)

Returns:

  • float[] mBuff: a 256-element histogram that quantifies the number of pixels at each brightness level for the greyscale version of inputMat

checkExposure()

Signature: ExposureResult exposureResult = checkExposure(Mat inputMat)
Purpose: Determines whether the candidate video frame has sufficient lighting without being too bright
Parameters:

  • Mat inputMat: the candidate video frame (in grayscale)

Returns:

  • ExposureResult exposureResult: whether inputMat has a reasonable brightness

measureSharpness()

Signature: double sharpness = measureSharpness(Mat inputMat)
Purpose: Calculates the Laplacian variance of the candidate video frame as a metric for sharpness
Parameters:

  • Mat inputMat: the candidate video frame (in grayscale)

Returns:

  • double sharpness: the Laplacian variance of inputMat

checkSharpness()

Signature: boolean isSharp = checkSharpness(Mat inputMat)
Purpose: Determines whether the candidate video frame is focused
Parameters:

  • Mat inputMat: the candidate video frame (in grayscale)

Returns:

  • boolean isSharp: whether inputMat has a reasonable sharpness

measurePosition()

Signature: Point center = measurePosition(MatOfPoint2f boundary)
Purpose: Identifies the center of the detected RDT
Parameters:

  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT

Returns:

  • Point center: the (x, y) coordinate corresponding to the center of the RDT

checkPosition()

Signature: boolean isCentered = checkPosition(MatOfPoint2f boundary, Size size)
Purpose: Determines whether the detected RDT is close enough towards the center of the candidate video frame
Parameters:

  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT
  • Size size: the size of the candidate video frame

Returns:

  • boolean isCentered: whether the boundary of the detected RDT is sufficiently in the middle of the screen for consistent interpretation

measureSize()

Signature: double dimension = measureSize(MatOfPoint2f boundary, boolean isHeight)
Purpose: Measures the desired dimension of the bounding box around the detected RDT
Parameters:

  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT
  • boolean isHeight: whether the output should be the height (true) or width (false)

Returns:

  • double dimension: the desired dimension in pixels

checkSize()

Signature: SizeResult sizeResult = checkSize(MatOfPoint2f boundary, Size size)
Purpose: Determines whether the detected RDT is a reasonable size within the camera frame
Parameters:

  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT
  • Size size: the size of the candidate video frame

Returns:

  • SizeResult sizeResult: whether the boundary of the detected RDT has a reasonable size for consistent interpretation

measureOrientation()

Signature: double angle = measureOrientation(MatOfPoint2f boundary)
Purpose: Measures the orientation of the RDT relative to the camera's perspective (assumes vertical RDT where height > width)
Parameters:

  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT

Returns:

  • double angle: the orientation of the RDT's vertical axis relative to the vertical axis of the video frame (0° = upright, 90° = right-to-left, 180° = upside-down, 270° = left-to-right)

checkOrientation()

Signature: double isOriented = checkOrientation(MatOfPoint2f boundary)
Purpose: Determines whether the detected RDT is a reasonable orientation within the camera frame
Parameters:

  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT

Returns:

  • boolean isOriented: whether the boundary of the detected RDT has a reasonable orientation for consistent interpretation

checkGlare()

Signature: boolean isGlared = checkIfGlared(Mat inputMat, MatOfPoint2f boundary)
Purpose: Determines if there is glare within the detected RDT's result window (often due to protective covering of the immunoassay)
Parameters:

  • Mat inputMat: the candidate video frame (in grayscale)
  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT

Returns:

  • boolean isGlared: whether there is glare within the detected RDT's result window

getInstructionText()

Signature: int instruction = getInstructionText(boolean isCentered, SizeResult sizeResult, boolean isOriented, boolean isGlared)
Purpose: Generate the most logical instruction to help the user fix a single quality check
Parameters:

  • boolean isCentered: whether the boundary of the detected RDT is sufficiently in the middle of the screen for consistent interpretation
  • SizeResult sizeResult: whether the boundary of the detected RDT has a reasonable size for consistent interpretation
  • boolean isOriented: whether the boundary of the detected RDT has a reasonable orientation for consistent interpretation
  • boolean isGlared: whether there is glare within the detected RDT's result window

Returns:

  • int instruction: the ID of the instruction text to be found in res/values/strings.xml

getSummaryText()

Signature: String[] summaryText = String[] getSummaryText(ExposureResult exposureResult, boolean isSharp, boolean isCentered, SizeResult sizeResult, boolean isOriented, boolean isGlared)
Purpose: Generate text that can be shown on the screen to summarize all quality checks
Parameters:

  • ExposureResult exposureResult: whether the candidate video frame has a reasonable brightness
  • boolean isSharp: whether the candidate video frame has a reasonable sharpness
  • boolean isCentered: whether the boundary of the detected RDT is sufficiently in the middle of the screen for consistent interpretation
  • SizeResult sizeResult: whether the boundary of the detected RDT has a reasonable size for consistent interpretation
  • boolean isOriented: whether the boundary of the detected RDT has a reasonable orientation for consistent interpretation
  • boolean isGlared: whether there is glare within the detected RDT's result window

Returns:

  • String[] summaryText: summary for each quality checking component

checkBlood()

Signature: boolean isBloody = checkBloody(Mat inputMat, MatOfPoint2f boundary)
Purpose: Determines if there is blood within the detected RDT's result window
Parameters:

  • Mat inputMat: the candidate video frame (in grayscale)
  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT

Returns:

  • boolean isBloody: whether there is blood within the detected RDT's result window

cropResultWindow()

Signature: Mat resultWindow = cropResultWindow(Mat inputMat, MatOfPoint2f boundary)
Purpose: Crops out the detected RDT's result window as a rectangle
Parameters:

  • Mat inputMat: the candidate video frame
  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT

Returns:

  • Mat resultWindow: the RDT image tightly cropped and de-skewed around the result window

cropResultWindowWithFidicual()

Signature: Mat resultWindow = cropResultWindowWithFidicual(Mat inputMat)
Purpose: Uses color clustering to identify explicit 'fiducials' (densely colored markers) on the detected RDT that can be used as reference points for locating the result window
Parameters:

  • Mat inputMat: the candidate video frame (in RGBA and de-skewed)

Returns:

  • Mat resultWindow: the RDT image tightly cropped and de-skewed around the result window

enhanceResultWindow()

Signature: Mat enhancedMat = Mat enhanceResultWindow(Mat resultWindowMat)
Purpose: Applies CLAHE to enhance faint marks on the RDT's result window
Parameters:

  • Mat resultWindowMat: the RDT's result window (in RGBA)

Returns:

  • Mat enhancedMat: a contrast-enhanced version of the RDT's result window

interpretRDT()

Signature: InterpretationResult interpResult = interpretRDT(Mat inputMat, MatOfPoint2f boundary)
Purpose: Interprets any lines that appear within the detected RDT's result window
Parameters:

  • Mat inputMat: the image known to have a clear RDT in the video frame
  • MatOfPoint2f boundary: the corners of the bounding box around the detected RDT

Returns:

  • InterpretationResult interpResult: the test results